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Evaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom.

التفاصيل البيبلوغرافية
العنوان: Evaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom.
المؤلفون: Min-Xiong Zhou, Xu Yan, Hai-Bin Xie, Hui Zheng, Dongrong Xu, Guang Yang
المصدر: PLoS ONE, Vol 10, Iss 2, p e0116986 (2015)
بيانات النشر: Public Library of Science (PLoS), 2015.
سنة النشر: 2015
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Image denoising has a profound impact on the precision of estimated parameters in diffusion kurtosis imaging (DKI). This work first proposes an approach to constructing a DKI phantom that can be used to evaluate the performance of denoising algorithms in regard to their abilities of improving the reliability of DKI parameter estimation. The phantom was constructed from a real DKI dataset of a human brain, and the pipeline used to construct the phantom consists of diffusion-weighted (DW) image filtering, diffusion and kurtosis tensor regularization, and DW image reconstruction. The phantom preserves the image structure while minimizing image noise, and thus can be used as ground truth in the evaluation. Second, we used the phantom to evaluate three representative algorithms of non-local means (NLM). Results showed that one scheme of vector-based NLM, which uses DWI data with redundant information acquired at different b-values, produced the most reliable estimation of DKI parameters in terms of Mean Square Error (MSE), Bias and standard deviation (Std). The result of the comparison based on the phantom was consistent with those based on real datasets.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: http://europepmc.org/articles/PMC4313935?pdf=render; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0116986
URL الوصول: https://doaj.org/article/dd9b7a0f91f847c1899348b761aea5e7
رقم الأكسشن: edsdoj.9b7a0f91f847c1899348b761aea5e7
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0116986